Mathematics and Computer Applications - Sciene

Numerical Approximations To the Gamma Cumulative Distribution Function With Random Varietes Generation By Using Monte-Carlo Simulation

Fractional calculus is the subject of evaluating derivatives and integrals of non-integer orders of a given function, while fractional differential equations (considered in this work) is the subject of studying the solution of differential equations of fractional order, which contain initial conditions. The general form of a fractional differentia equation is given by:y(q) = f(x, y), y(q-k)(x0) = y0 where k = 1, 2, …, n + 1, n < q < n + 1, and n is an integer number.

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Solution of Fuzzy Initial-Boundary Ordinary Differential Equations

One of the aims of study the fuzzy set theory is to develop the methodology of the formulations and the solutions of problems that are too complicated or ill-defined to be acceptable to analysis by conventioal techniques. Therefore, fuzziness could be considered as a type of imprecision that steams from a grouping of elements into classes that do not have exact defined boundaries. Such classes, introduced by Zadeh L. A., in 1965 as a tool used to describe the ambiguity, vagueness and ambivalence in the mathematical models.This thesis have three objectives.

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Numerical Evaluation To the Gamma Cumulative Distribution Function With Random Varietes Generation By Using Monte-Carlo Simulation

In this thesis the gamma distribution is considered for the reason of it’s appearance in many statistical fields of applications. Some mathematical and statistical properties of the distribution are collected and unified.

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